EMG pattern recognition via Bayesian inference with scale mixture-based stochastic generative models.
Akira FuruiTakuya IgaueToshio TsujiPublished in: Expert Syst. Appl. (2021)
Keyphrases
- bayesian inference
- generative model
- probabilistic model
- mixture model
- pattern recognition
- expectation maximization
- hidden variables
- gaussian mixture model
- hyperparameters
- variational inference
- discriminative models
- bayesian framework
- conditional random fields
- prior information
- prior knowledge
- posterior probability
- bayesian networks
- discriminative learning
- graphical models
- topic models
- latent variables
- markov networks
- image processing
- em algorithm
- latent dirichlet allocation
- language modeling
- parameter learning
- conditional probabilities
- generative and discriminative models
- machine learning
- latent variable models
- hierarchical bayesian
- hierarchical hidden markov models
- markov chain monte carlo
- density estimation
- semi supervised
- computer vision
- posterior distribution
- naive bayes
- parameter estimation